Research

For more details, see my Google Scholar page.

• clusterSC: Advancing Synthetic Control with Donor Clustering for Disaggregate-Level Data
  Saeyoung Rho, Andrew Tang, Noah Bergam, Rachel Cummings, Vishal Misra.
  In submission.
  [Preprint]
• A Sequential Lightbulb Problem
  Noah Bergam, Berkan Ottlik, Arman Özcan.
  Final Project, COMS4232 Advanced Algorithms (May 2024)..
  [Paper] [Poster]
• Second-Order Bounds for Sleeping Experts
  Noah Bergam and Arman Özcan.
  Final Project, COMS4773 Machine Learning Theory (May 2024).
  [Paper]
• On Manifold Dimension Estimation
  Noah Bergam and Andrew Blumberg.
  Honors Senior Thesis, Columbia Mathematics Department, 2024.
  [Paper]
• A graph-theoretic approach to altimetry-based surface modeling of the Greenland ice sheet
  Noah Bergam and Abani Patra.
  Joint Mathematics Meeting, 2024.
  [Abstract]
• On Optimal t-distributed Stochastic Neighbor Embeddings
  Noah Bergam and Nakul Verma.
  Fall Fourier Talks, 2023.
  [Poster]
• Legal and Political Stance Detection of SCOTUS Language
  Noah Bergam, Emily Allaway, and Kathleen McKeown
  NLLP Workshop, EMNLP 2022.
  [Paper] [Poster]
• Designing and Simulating a Smart Air Purifier to Combat HVAC-induced COVID-19 Transmission
  Noah Bergam, Lily Chen, Sakshi Lende, Skyler Snow, Julianna Zhang, Michael DiBuono, Nicholas Calzaretto.
  MIT IEEE Undegraduate Research in Technology Conference 2020.
  [Paper]
• The Black-Scholes model in the context of econophysics
  Noah Bergam and Teodora Kolarov.
  Parabola Mathematics Journal.
  [Paper]
• Confidence-Calibrated Ensemble Dense Phrase Retrieval.
  William Yang, Noah Bergam, Arnav Jain, Nima Sheikhoslami.
  [Paper]